CVE & CISA-KEV Catalog

CVE-2022-35938

HIGH
7.0
CVSS v3
NVD

Description

TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. This issue has been patched in GitHub commit 4142e47e9e31db481781b955ed3ff807a781b494. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

How to fix

Remediation Available
tensorflowNVD
Affected:>= 2.9.0, < 2.9.1Fixed in:2.9.1CVE-2022-35938derived from NVD

Remediation is compiled from vendor and distribution security advisories. Always confirm against the linked source for your exact version and platform.

CVSS v3 Vector

Exploitability

Attack VectorNetwork
Attack ComplexityHigh
Privileges RequiredNone
User InteractionNone
ScopeUnchanged

Impact

ConfidentialityLow
IntegrityLow
AvailabilityHigh

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H

Exploit Intelligence

0.45%probability of exploitation in 30 days
36thpercentile

Low risk: more likely to be exploited than 36% of all known CVEs.

References

Third-Party Advisory1

Related Vulnerabilities

Other CWE-125 (Out-of-bounds Read) vulnerabilities, ordered by exploit likelihood. View all

CVESeverityCVSSEPSSExploitedFix
CVE-2014-0160High7.5100%KEVFix
CVE-2025-5777High7.5100%KEV + RansomFix
CVE-2021-4034High7.895%KEVFix
CVE-2023-21769High7.592%-Fix
CVE-2023-49285High8.689%-Fix
CVE-2020-8794Critical9.889%-Fix
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This product uses NVD data but is not endorsed or certified by the NVD. EPSS scores courtesy of FIRST.org (https://www.first.org/epss). Source: CISA KEV Catalog. Data as of 2024-11-21.